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mr_discussions

Retrieve and list discussion items for a GitLab merge request to review comments, feedback, and collaboration threads.

Instructions

List discussion items for a merge request

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idNoProject ID or complete URL-encoded path to project
merge_request_iidNoThe IID of a merge request
pageNoPage number for pagination (default: 1)
per_pageNoNumber of items per page (max: 100, default: 20)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool lists items but doesn't describe key behaviors: whether it's paginated (implied by parameters but not stated), what the output format is (no output schema), if it's read-only (implied but not explicit), or any rate limits or authentication needs. This leaves significant gaps for a tool with 4 parameters.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that front-loads the core purpose ('List discussion items for a merge request') with zero wasted words. It's appropriately sized for a straightforward listing tool, making it easy for an agent to parse quickly without unnecessary elaboration.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (4 parameters, no output schema, no annotations), the description is minimally adequate but incomplete. It covers the basic purpose but lacks behavioral details (e.g., pagination behavior, output format) and usage guidelines. With no output schema, the description should ideally hint at return values, but it doesn't, leaving gaps in contextual understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema has 100% description coverage, providing clear documentation for all 4 parameters (project_id, merge_request_iid, page, per_page). The description doesn't add any semantic details beyond what the schema already states, such as explaining how discussion items are structured or filtered. With high schema coverage, the baseline score of 3 is appropriate as the description doesn't compensate but also doesn't detract.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb ('List') and resource ('discussion items for a merge request'), making the purpose immediately understandable. It distinguishes from siblings like 'list_merge_request_notes' or 'list_issue_discussions' by specifying merge request discussions, though it doesn't explicitly contrast them. The description avoids tautology by not just restating the tool name.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., needing a merge request IID), exclusions, or compare it to similar tools like 'list_merge_request_notes' or 'get_merge_request'. Without any usage context, the agent must infer when this is appropriate.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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